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ORCIDMichael A. Jacobs
Person information
- affiliation: Johns Hopkins University, Department of Radiology, Baltimore, MD; USA
Other persons with a similar name
- Michael Adam Jacobs — Purdue University, School of Aeronautics and Astronautics, West Lafayette, IN, USA
- Michael H. Jacobs
- Michael J. Jacobs — US National Security Agency, Fort George G. Meade, MD, USA
- Michael R. Jacobs — Temple University, School of Pharmacy, Philadelphia, PA, USA
- Michael Jacobs 0001 — George Mason University, Fairfax, VA, USA
- Michael Jacobs 0002 — Saarland University, Department of Computer Science, Saarbrücken, Germany
- Michael Jacobs 0003 — University of South Alabama, Mobile, AL, USA
- Michael Jacobs 0004 — Oxford University Hospitals, BMS Haematology, UK
- Michael Jacobs 0005 — IBM
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2020 – today
- 2024
[j3]Andrea Soltoggio
, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024)- [j2]Emily R. Bartusiak, Michael A. Jacobs, Moses W. Chan, Mary L. Comer, Edward J. Delp:
Predicting Hypersonic Glide Vehicle Behavior With Stochastic Grammars. IEEE Trans. Aerosp. Electron. Syst. 60(1): 1208-1223 (2024) - [i15]Guangyao Zheng, Michael A. Jacobs, Vishwa S. Parekh:
Demographic Predictability in 3D CT Foundation Embeddings. CoRR abs/2412.00110 (2024) - 2023
- [c9]Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh:
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. MIDL 2023: 1751-1764 - [i14]Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh:
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. CoRR abs/2302.11510 (2023) - [i13]Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa S. Parekh:
Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging. CoRR abs/2303.06783 (2023) - [i12]Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh:
Multi-environment lifelong deep reinforcement learning for medical imaging. CoRR abs/2306.00188 (2023) - [i11]Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh:
A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments. CoRR abs/2306.05310 (2023) - 2021
- [i10]Vishwa S. Parekh, Shuhao Lai, Vladimir Braverman, Jeff Leal, Steven Rowe, Jay J. Pillai, Michael A. Jacobs:
Cross-Domain Federated Learning in Medical Imaging. CoRR abs/2112.10001 (2021) - 2020
- [c8]Vishwa S. Parekh, Alex E. Bocchieri, Vladimir Braverman, Michael A. Jacobs:
Multitask radiological modality invariant landmark localization using deep reinforcement learning. MIDL 2020: 588-600
2010 – 2019
- 2019
- [c7]Vishwa S. Parekh, Michael A. Jacobs:
Radiomic Synthesis Using Deep Convolutional Neural Networks. ISBI 2019: 1114-1117 - [i9]Vishwa S. Parekh, Michael A. Jacobs:
Tumor Connectomics: Mapping the intra-tumoral complex interaction network. CoRR abs/1901.09861 (2019) - [i8]Vishwa S. Parekh, John Laterra, Chetan Bettegowda, Alex E. Bocchieri, Jay J. Pillai, Michael A. Jacobs:
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results. CoRR abs/1906.04049 (2019) - [i7]Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner, Shivani Ahlawat, Vladimir Braverman, Doris G. Leung, Michael A. Jacobs:
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results. CoRR abs/1908.00175 (2019) - 2018
- [i6]Vishwa S. Parekh, Katarzyna J. Macura, Susan C. Harvey, Ihab Kamel, Riham El Khouli, David A. Bluemke, Michael A. Jacobs:
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results. CoRR abs/1802.08200 (2018) - [i5]Sanghyun Choi, Nikita Ivkin, Vladimir Braverman, Michael A. Jacobs:
DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results. CoRR abs/1809.02665 (2018) - [i4]Vishwa S. Parekh, Michael A. Jacobs:
MPRAD: A Multiparametric Radiomics Framework. CoRR abs/1809.09973 (2018) - [i3]Vishwa S. Parekh, Michael A. Jacobs:
Radiomic Synthesis Using Deep Convolutional Neural Networks. CoRR abs/1810.11090 (2018) - [i2]Michael A. Jacobs, Christopher Umbricht, Vishwa S. Parekh, Riham El Khouli, Leslie Cope, Katarzyna J. Macura, Susan C. Harvey, Antonio C. Wolff:
Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array. CoRR abs/1811.03218 (2018) - 2016
- [c6]Vishwa S. Parekh, Michael A. Jacobs:
A multidimensional data visualization and clustering method: Consensus similarity mapping. ISBI 2016: 420-423 - [i1]Vishwa S. Parekh, Jeremy R. Jacobs, Michael A. Jacobs:
Unsupervised Non Linear Dimensionality Reduction Machine Learning methods applied to Multiparametric MRI in cerebral ischemia: Preliminary Results. CoRR abs/1606.03788 (2016) - 2014
- [c5]Vishwa S. Parekh, Jeremy R. Jacobs, Michael A. Jacobs:
Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results. Image Processing 2014: 90342O - 2011
- [c4]Ahmed A. Harouni, Michael A. Jacobs, Nael F. Osman:
Finding the Optimal Compression Level for Strain-Encoded (SENC) Breast MRI; Simulations and Phantom Experiments. MICCAI (1) 2011: 444-451
2000 – 2009
- 2003
- [j1]Torsten Rohlfing, Calvin R. Maurer Jr., David A. Bluemke, Michael A. Jacobs:
Volume-Preserving Non-Rigid Registration of MR Breast Images Using Free-Form Deformation with an Incompressibility Constraint. IEEE Trans. Medical Imaging 22(6): 730-741 (2003) - [c3]Torsten Rohlfing, Calvin R. Maurer Jr., David A. Bluemke, Michael A. Jacobs:
Volumenerhaltende elastische Registrierung. Evaluierung mit klinischen MR-Mammographien. Bildverarbeitung für die Medizin 2003: 91-95 - [c2]Torsten Rohlfing, Calvin R. Maurer Jr., David A. Bluemke, Michael A. Jacobs:
An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images. WBIR 2003: 291-300 - 2000
- [c1]Amir Ghanei, Hamid Soltanian-Zadeh, Michael A. Jacobs:
Boundary-based warping of brain MR images. Image Processing 2000
Coauthor Index
aka: Vishwa Sanjay Parekh
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